Higher Education Admission Capacity Planning Using a

Linearized Integer Goal Programming Model

 

 

Said Ali Hassan El-Quliti¹*, Abdul Hamid Mohamed Ragab², Reda Abdelaal³,

Ali Wagdy Mohamed⁴, Abdulfattah Suliman Mashat⁵, Amin Yousef Noaman⁶, and Abdulrahman Helal Altalhi⁷

¹ Prof., Industrial Engineering Department, Faculty of Engineering, King Abdulaziz University, SAUDI ARABIA, saalquliti@kau.edu.sa

² Prof., Information Systems Department, Faculty of Computing and Information Technology, King Abdulaziz University, SAUDI ARABIA, ahm_ragab@yahoo.com

³ Prof., Industrial Engineering Department, Faculty of Engineering, King Abdulaziz University, SAUDI ARABIA, redawithyou@gmail.com

⁴ Assistant Prof., Statistics Department, Faculty of Sciences, University of Jeddah, SAUDI ARABIA, aliwagdy@gmail.com

⁵ Prof., Information Technology Department, Faculty of Computing and Information Technology, King Abdulaziz University, SAUDI ARABIA, asmashat@kau.edu.sa,

⁶ Assoc. Prof., Computer Science Department, Faculty of Computing and Information Technology, King Abdulaziz University, SAUDI ARABIA, anoaman@kau.edu.sa

⁷ Assoc. Prof., Information Technology Department, Faculty of Computing and Information Technology, King Abdulaziz University, SAUDI ARABIA, ahaltalhi@kau.edu.sa

*Corresponding author

 

 

 

Abstract

This paper proposes a linearized integer goal programming model (LIGPM) for solving the general problem of admission capacity planning at the national and/or institutional level and for a given long-term planning horizon. The model aims to satisfy the required key objectives of the Ministry of Education and/or 5-year national plan related to the higher education enrolment problem. The model is described in a general form that can be adopted for any country taking into considerations its special requirements. The national plans for higher education together with relevant data for Saudi Arabia are used as a case study. Many relative objectives of national admission capacity planning have been taken into consideration.

The considered objectives are as follows: Annual growth rate for enrolled students, Percentage of the total number of students enrolled in science and engineering programs, Percentage of total enrolment in higher education regardless of age to the total population in the age group of 18-23 years, Accepted percentage in higher education from high school graduates, Percentage of the total number of students in each discipline of education to the total faculty members, Percentage of the total number of girls to the total number of boys in higher education, Not violating the available resources, Annual growth rate for graduated students and Ratio of graduated students to those enrolled 5 years ago.

Keywords: Higher Education; Admission Capacity Planning; Goal Programming.